ci_median: Confidence Interval for the Population Median

In confintr: Confidence Intervals

Description

This function calculates confidence intervals for the population median by calling ci_quantile(..., q = 0.5). See ci_quantile for details.

Usage

ci_median(
  x,
  probs = c(0.025, 0.975),
  type = c("binomial", "bootstrap"),
  boot_type = c("bca", "perc", "norm", "basic"),
  R = 9999,
  seed = NULL,
  ...
)

Arguments

x	A numeric vector.
probs	Error probabilites. The default c(0.025, 0.975) gives a symmetric 95% confidence interval.
type	Type of confidence interval. One of "binomial" (default), or "bootstrap".
boot_type	Type of bootstrap confidence interval ("bca", "perc", "norm", "basic"). Only used for type = "bootstrap".
R	The number of bootstrap resamples. Only used for type = "bootstrap".
seed	An integer random seed. Only used for type = "bootstrap".
...	Further arguments passed to boot::boot.

Value

A list with class cint containing these components:

• parameter: The parameter in question.

• interval: The confidence interval for the parameter.

• estimate: The estimate for the parameter.

• probs: A vector of error probabilities.

• type: The type of the interval.

• info: An additional description text for the interval.

See Also

ci_quantile.

Examples

ci_median(1:100)
ci_quantile(1:100)

confintr documentation built on July 2, 2020, 1:51 a.m.